Python in 3 Hours! [+ Machine Learning & Deep Learning]

Switch to Python, Learn Machine Learning Fundamentals, and Develop Deep Learning Models Using TensorFlow All in 3 Hours!

4.74 (121 reviews)
Udemy
platform
English
language
Programming Languages
category
2,350
students
3 hours
content
Sep 2023
last update
$59.99
regular price

What you will learn

1. Python 3+ Programming Using Google Colab Free CPU, GPU, & TPU Nodes by A Johns Hopkins Instructor.

2. Machine Learning Fundamentals Including Supervised Learning by A Johns Hopkins Instructor.

3. Deep Learning Classification & Regression Programming Using TensorFlow by A Johns Hopkins Instructor.

4. Limited Development of Convolutional Neural Networks Using TensorFlow by A Johns Hopkins Instructor.

Description

1.1. Course instructor

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My name is Mohammad H. Rafiei, Ph.D. I am a researcher and instructor at Johns Hopkins University, College of Engineering, and Georgia State University, Department of Computer Science. I am also the founder of MHR Group LLC in Georgia, a data-analytic company, where we work with various domestic and global researchers at different institutions to address persistent challenges in Computer Science, Engineering, and Medicine, using state of the art machine learning and optimization techniques.

It is my great pleasure to serve as a Udemy instructor, helping thousands of students and researchers across the globe to learn Python and machine learning.


1.2. Does this course suit you?

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You want to (1) learn Python, (2) learn and apply machine learning artificial intelligence in Python, (3) run Python on free CPU, GPU, and TPU cloud computers, (4) do not want to install any bulky software on your computer, (5) want to do all this in less than 3 hours, (6) and want this course to be 100% moneyback guaranteed. If that is the case, then you are in the right place!

In less than 3 hours, this course will teach you:

  1. Python 3+ from scratch (no installation is required; all on free cloud computers at Google)

  2. General machine learning concepts and neural networks

  3. How to develop machine learning models using TensorFlow in Python 3+

  4. How to investigate your problems in Python

This course helps you if:

  1. You are a Python beginner who is interested in learning Python and using Python to develop machine learning models in less than 3 hours.

  2. You are interested in using free and powerful cloud CPU and GPU computers to develop and run your Python codes.

    • Almost wherever you are in the world, Google will give you free remote access to its computers.

    • Free CPU, GPU, and TPU processors to develop and run your Python codes for Free!

    • You only need to have Gmail (free) and Google Chrome (also free) installed on your operating system!

    • It does not matter what your operating system is.

    • No bulky software is required, just Google Chrome web browser!

    • Almost all the cheapest computers in the market can handle Google Chrome, so no significant computer system is required.

  3. You have no or little knowledge of Python, are interested in learning Python and want to practice machine learning problems in Python, all in a matter of fewer than 3 hours.

    • You might have no or little knowledge of Python; you will be taught!

    • You might have no or little knowledge of machine learning or neural networks; you will be taught, and you will practice them in Python!

    • You are so busy and don't have the time to go over a 25-hour course that teaches you many rudimentary programming basics.

    • You need optimum materials in a minimum amount of time to help you drive Python by yourself!

  4. You prefer not even install any additional complicated software, editors, or programs on your computer to run Python!

    • You might have an old rusty computer, but it is able to run the latest version of Google Chrome (i.e., the Google free web browser).

    • Your computer has limited memory to run programming scripts or has a limited hard drive to install bulky and complicated software.

  5. You will benefit the most if you are familiar with at least one computation-based programming language, such as MATLAB, R, C, C++, C#, etc., and want to switch to or learn Python.

    • We are not going to explain, say, what a "for-loop" is, but we will see how to create, say, "for-loops" in Python.

    • We are not explaining what an array or matrix is.

1.4. Course Overview

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180 Minutes in 12 Lectures:

  • Lecture 01: An Introduction to the Course ( < 18 minutes)

  • Lecture 02: Gmail, Chrome, and Google Colab (~11 minutes)

  • Lecture 03: Operations, Built-in Functions, and Data Types (~20 minutes)

  • Lecture 04: Loops, Conditional Scripts, and Functions (~16 minutes)

  • Lecture 05: Numpy and Pandas for Data Processing (~28 minutes)

  • Lecture 06: Matplotlib and Seaborn for Data Visualizations (~10 minutes)

  • Lecture 07: Data Repositories and Data Split in Machine Learning (~15 minutes)

  • Lecture 08: Data Processing and Calibrations in Machine Learning (~13 minutes)

  • Lecture 09: Brief Introduction to Neural Networks (~11 minutes)

  • Lecture 10: TensorFlow Keras for Regression Neural Networks (~16 minutes)

  • Lecture 11: TensorFlow Keras for Classification Neural Networks ( ~13 minutes)

  • Lecture 12: Hit the Road on Your Own! ( ~9 minutes)


1.5. Your Contribution

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Please write a review about this course; then, we can modify it and make it better. If you find this course interesting, please refer it to your friends and colleagues.


1.6. Acknowledgment

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I want to thank my wife, Fatemeh, for all her support in developing this course. I want to thank my friend and brother, Ahmad Mohammadshirazi, a computer science Ph.D. student at Ohio State University, for helping me in the video editing of this course.

Content

An Introduction to the Course

An Introduction to the Course

Gmail, Chrome, and Google Colab

Gmail, Chrome, and Google Colab

Operations, Built-in Functions, and Data Types

Operations, Built-in Functions, and Data Types, Part 01
Operations, Built-in Functions, and Data Types, Part 02

Loops, Conditional Scripts, and Functions

Loops, Conditional Scripts, and Functions, Part 01
Loops, Conditional Scripts, and Functions, Part 02

Numpy and Pandas for Data Processing

Numpy and Pandas for Data Processing, Part 01
Numpy and Pandas for Data Processing, Part 02
Numpy and Pandas for Data Processing, Part 03

Matplotlib and Seaborn for Data Visualizations

Lecture 10

Data Repositories and Data Split in Machine Learning

Lecture 11
Lecture 12

Data Processing and Calibration in Machine Learning

Lecture 13

Brief Introduction to Neural Networks

Brief Introduction to Neural Networks

TensorFlow Keras for Regression Neural Networks

TensorFlow Keras for Regression Neural Networks, Part 01
TensorFlow Keras for Regression Neural Networks, Part 02

TensorFlow Keras for Classification Neural Networks

TensorFlow Keras for Classification Neural Networks

Increase Our Python Expertise and Knowlege on Our Own!

Increase Our Python Expertise and Knowledge on Our Own!

Screenshots

Python in 3 Hours! [+ Machine Learning & Deep Learning] - Screenshot_01Python in 3 Hours! [+ Machine Learning & Deep Learning] - Screenshot_02Python in 3 Hours! [+ Machine Learning & Deep Learning] - Screenshot_03Python in 3 Hours! [+ Machine Learning & Deep Learning] - Screenshot_04

Reviews

Alexander
May 13, 2023
Great course! Some of the video in lecture 10 was appearing as just a blank screen with the audio still playing.
Robin
January 30, 2022
This class was great. It helped with defining the basic python syntax and functionality, while giving worthwhile examples.
Kian
January 19, 2022
The course was great and explanation was excellent. This short course helps you to recall what you have learned from Python. Thank you Dr. Rfiei !
Zemichael
June 25, 2021
Short and concise course. Highly recommend it for someone who have limited time to go over the main topics of python programming.
Reneh
May 27, 2021
This course seems very promising. I have attempted to learn languages before and have failed to do so. However, this course is different. Excellent instruction!
Syed
April 28, 2021
Its good as a general starting point and the statistical model for the arrays-list-dictionary conversions should also include examples whiuch can be attributed to college time as these would help to bring back college statistics learning to everyone and make them open their eyes for the tensor flow learning.I would also like that some of these examples should be, if possible, without memory issues, should run on other laptop python apps platform too
Christopher
April 13, 2021
I took this class before taking the nVidia Fundamentals of Deep Learning (DL2323) because I was worried that I didn't know Python. This class helped me quite a bit; not only for the Python skills but for the AI/ML topics that were covered in same focused class! Worth it for sure.
Tyler
March 28, 2021
As a 'MATLABIAN', I absolutely love the pace. Having prior knowledge of programming in MATLAB has made this content extremely beneficial and has saved me so much time trying to translate between languages
Pawan
January 26, 2021
I was confident with developing algorithms in C++ and MATLAB. I had very little exposure to PYTHON but this course provided me the clear, concise and exact knowledge to add PYTHON in my repertoire. I can now confidently expand my job search with skills like data analysis, visualization, ML and much more. Best course for beginners but I would also recommend this course to intermediate and advanced level programmers who are good at OOP, for data analysis, machine learning, and deep learning.
Nawazish
January 25, 2021
Yes! this course is good for beginners to start a new career in python. This will help you to understand all key concepts.
载厚
January 19, 2021
This is an excellent course for my apetite of beginner due to the authour made careful preparations, finite time in 3 hours was used to share infinite thing of ML with portable Python. I learned a lot from here, which will help me to study further. Thanks to Dr. Mhr. I'm looking forward to your more excellent works, and I'd like to ask you when I produce some questions.
Mohammad
December 30, 2020
From a basic to an advanced level in 3 hours! Very nice overview of Python and ML. Highly recommend to anyone that wants to learn these is a compact way.

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3722786
udemy ID
12/23/2020
course created date
12/31/2020
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